Is it possible to make Machine Learning model to predict multiple outputs with Statistics and Machine Learning Toolbox?

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翼 2024-9-23，12:08

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评论： Yifeng Tang 2024-10-4，15:18

I'd like to create a model to predict two output signals based on the following seven input signals, by using Statistics and Machine Learning Toolbox.

This csv is a the data (about 4,200 rows) used as training data.

This data is a time series every 0.025 seconds.

I think the model type is Regressin model if you create a model from this data.

(Data type of each Signal is double type.)

Input Signals：

V_TGT_Vehicle
P_DCDC_PNT_W
P_HVAC_PNT_W
SOC_BT_Hi_PNT_per
open_accel_Driver_per
open_break_Driver_per
w_MG_PNT_radps

Output Signals：

trq_MG2_tgtCalc1
trq_MG2_tgtCalc2

I've been going through Statistics and Machine Learning Toolbox documentation, I'm not sure if it's possible to create a machine learning model like above.

I'd like to export the model as Simulink block.

Do you have any ideas?

How do I make this with Statistics and Machine Learning Toolbox?

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Answer 1

Jacob Mathew 2024-9-25，3:35

Hey 翼,

The Statistics and Machine Learning Toolbox deals with classical machine learning models like linear regression and decision tree ensemble approaches which deal with a single output. If there are any data preprocessing or transformation which allows single parameter output for the dataset then the following examples are worth exploring:

Analyze Time Series Data : https://www.mathworks.com/help/releases/R2024b/stats/time-series-regression-of-airline-passenger-data.html
Manually Perform Time Series Forecasting Using Ensembles of Boosted Regression Trees : https://www.mathworks.com/help/releases/R2024b/stats/time-series-forecasting-using-ensemble-of-boosted-regression-trees.html
Model and Simulate Electricity Spot Prices Using the Skew-Normal Distribution : https://www.mathworks.com/help/releases/R2024b/econ/model-and-simulate-electricity-spot-prices-using-skew-normal-distribution.html

However, if you have require the output to have two signals, then you will require the Deep Learning Toolbox to create regression neural networks. The link to the Toolbox is :

https://www.mathworks.com/products/deep-learning.html

Refer to the following example to get started with Time Series Forecasting:

https://www.mathworks.com/help/releases/R2024b/deeplearning/gs/get-started-with-time-series-forecasting.html

Once the model has been trained, it can be exported using the exportNetworkToSimulink function. The link to the function’s documentation is below:

https://www.mathworks.com/help/releases/R2024b/deeplearning/ref/dlnetwork.exportnetworktosimulink.html

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Jacob Mathew 2024-9-26，4:57

You can compare the requirements of both Toolboxes at the link belo. There is dropdown where you can check the requirements for any Toolbox you may need to use as well:

https://www.mathworks.com/support/requirements/deep-learning-toolbox.html

https://www.mathworks.com/support/requirements/statistics-and-machine-learning-toolbox.html

In regards to creating the a model to predict 2 outputs, refer to the Time Series Forecasting example in Deep Learning Toolbox mentioned above. A snippet from the example shows that it has more than one output, which is suitable for your requirement:

翼 2024-10-3，8:46

在 MATLAB Online 中打开

Hi @Jacob Mathew,

Much Appreciated.

I tried Deep Learning Toolbox and used exportNetworkToSimulink function, however it didn't work..

I got this error,

The argument at position 1 is invalid. Value must be of type dlnetwork or convertible to dlnetwork.

I'm not quite sure what exactly the error says....

Do you happen to know this ? How do I modify?

Here is my MATLAB code.

I want to create a model and export it to Simulink as Block that has 7 input signals and 2 output signals.

data = readtable('data.csv');
inputVariables = {'v_VL_PNT_mps_1', 'w_MG_PNT_radps', 'open_brake_Driver_per', ...
    'open_accel_Driver_per', 'SOC_BT_Hi_PNT_per', 'P_HVAC_PNT_W', 'P_DCDC_PNT_W'};
XTrain = table2array(data(:, inputVariables));
outputVariables = {'F_VCU_CNT_re_break_N', 'tgt_Trq_VCU_CNT_MG_Nm'};
YTrain = table2array(data(:, outputVariables));
inputSize = numel(inputVariables);
outputSize = numel(outputVariables);
layers = [
    featureInputLayer(inputSize)
    fullyConnectedLayer(10)  
    reluLayer
    fullyConnectedLayer(outputSize)
    regressionLayer];
options = trainingOptions('adam', ...
    'MaxEpochs', 100, ...
    'Plots', 'training-progress', ...
    'Verbose', 0);
net = trainNetwork(XTrain, YTrain, layers, options);
exportNetworkToSimulink(net,ModelName="myExportedModel")

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Answer 2

Yifeng Tang 2024-9-30，23:52

Using Regression Learner App, you can build a regression model for EACH of the outputs. That is to say you need to build TWO models. The app support saving the resulting regression model for use in Simulink for newer versions. Looks like you are using R2024b, so it should be OK.

Here is an example of brining one regression model to Simulink: https://www.mathworks.com/help/stats/predict-responses-using-regression-gp-predict-block.html. You just need to use two of this.

Here are examples of similar workflow for other types of models: https://www.mathworks.com/help/stats/examples.html?category=code-generation&s_tid=CRUX_topnav

You can also do this using MATLAB Function in Simulink. Here is an example: https://www.mathworks.com/help/stats/predict-class-labels-using-matlab-function-block.html. The class label model can be replaced with any regression model. You can modify the MATLAB function to accept multiple regression models and produce multiple outputs. However, each regression model is multi-input-single-output.

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翼 2024-10-4，1:07

Hi @Yifeng Tang,

Yes, my csv file is a time series data. The text is cut off in the left column in the attached image, though... Csv file has "time" column.

As I said in another chat of this post I'm mentioning someone, I was able to create LSTM model with DeepLearning Toolbox but I'm now having trouble exporting the model to Simulink block tha has 7 input signals and 2 output signals.

I'm stuck in that.

https://jp.mathworks.com/matlabcentral/answers/2154825-is-it-possible-to-make-machine-learning-model-to-predict-multiple-outputs-with-statistics-and-machin#comment_3274580

Thank you.

Yifeng Tang 2024-10-4，15:18

Are you able to save the "net" variable, which is the trained model, to a .mat file and share that file? I can take a look and see if there is a way to embed that into Simulink. I think it's do-able.

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